Requirements

You are a motivated self-starter with a bias toward action
You have a passion for creating intuitive products that fit customers’ needs
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
You are comfortable working in a remote-first company; communication is key
You have professional experience as a backend engineer with expertise in cloud microservice architecture, systems design, Go, and Kubernetes (Typescript and React are a plus)
You are someone who is naturally curious, motivated to grow and thrives in a collaborative environment
You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and care deeply about their workflows
You have experience working with AI/LLM-powered systems, such as building integrations with agentic workflows or improving developer efficiency with AI tools
Backend technologies: Go and familiarity with other backend languages
Configuration technologies: Jsonnet and Terraform
Containerization and orchestration: Docker, Kubernetes
Strong experience with designing and developing software that runs in the Cloud or experience with systems engineering
Solid experience with distributed systems
Familiarity with being on-call and performing operational/SRE tasks
Experience with the latest LLM models and workflows

Nice to Haves

Monitoring and observability: Familiarity with tools like Grafana, Prometheus or other observability platforms
Networking experience (DNS, SSH, SOCKS)
Frontend technologies: Typescript and React

Enhancing the querying experience through improving how queries are transformed, routed, and delivered at scale
Influencing the design of our microservice architecture
Supporting the reliability, scalability, and operations of data sources in Grafana Cloud
Engineering new connection types to remote data sources
Collaborating with engineers and teams across the Grafana division
Take an active role in influencing our roadmap and your own career objectives
As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro)